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In this paper, a multi-scale framework with local region based active contourand boundary shape similarity constraint is proposed for the segmentation oflevator hiatus in ultrasound images. In this paper, we proposed a multiscaleactive contour framework to segment levator hiatus ultrasound images bycombining the local region information and boundary shape similarityconstraint. In order to get more precisely initializations and reduce thecomputational cost, Gaussian pyramid method is used to decompose the image intocoarse-to-fine scales. A localized region active contour model is firstlyperformed on the coarsest scale image to get a rough contour of the levatorhiatus, then the segmentation result on the coarse scale is interpolated intothe finer scale image as the initialization. The boundary shape similaritybetween different scales is incorporate into the local region based activecontour model so that the result from coarse scale can guide the contourevolution at finer scale. By incorporating the multi-scale and boundary shapesimilarity, the proposed method can precisely locate the levator hiatusboundaries despite various ultrasound image artifacts. With a data set of 90levator hiatus ultrasound images, the efficiency and accuracy of the proposedmethod are validated by quantitative and qualitative evaluations (TP, FP, Js)and comparison with other two state-of-art active contour segmentation methods(C-V model, DRLSE model).

Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint